株式会社SalesNow
Open positions
27_【海外人材枠／正社員】データエンジニア（Data Engineer）
Data Engineer at SalesNow, a pre-Series-B Japanese startup running a sales corporate-database SaaS. You build and improve big-data infrastructure (tens of TB): web-crawling pipelines, data cleansing/enrichment, and quality monitoring using Python/Scrapy, Airflow, Spark on Databricks, and AWS (S3, Aurora PostgreSQL). Full remote within Japan, open to non-Japanese candidates able to work in Japanese
24_【海外人材枠／正社員】バックエンドエンジニア（Backend Engineer）
Backend engineer at SalesNow building the Python/FastAPI APIs and data models behind its 16M-company corporate database — improving OpenSearch search performance, refactoring the model layer, and shipping LLM-powered features with heavy AI-assisted development. Fully remote within Japan, open to non-Japanese candidates able to work in Japan full-time.
23_【正社員】AI駆動開発エンジニア（バックエンドエンジニア）
Full-time backend engineer at SalesNow who designs and runs the core product API (Python/FastAPI), LLM-powered features, AI agent workflows, and the SalesNow MCP on top of a 16M+ company / 8B-record database, using AWS, OpenSearch, PostgreSQL, DynamoDB, and multiple LLM providers. Fully remote within Japan with full-flex hours.
28_【正社員】インフラエンジニア/SRE
SalesNow is hiring a full-time Infrastructure Engineer/SRE to design and run the AWS-centered infrastructure behind its 8-billion-record B2B company database — building monitoring/SLOs, CI/CD and IaC (Terraform/CDK) while tuning Aurora PostgreSQL and OpenSearch for performance and cost, in a fully remote, full-flex work style.
22_【正社員】Webエンジニア
Full-time web engineer at SalesNow, a Japanese B2B corporate-data provider: you design and build the web UI, search features, and backend APIs (plus AI-agent-facing surfaces like MCP) that deliver its 16M+ company database, working with Python/FastAPI, TypeScript/Next.js, PostgreSQL and OpenSearch in a fully remote, AI-first environment.
26_【正社員】データエンジニア
Data engineer at SalesNow, a Japanese startup building Japan's largest B2B company database (16M+ companies, 8B records). You design and build crawling, cleansing, entity-resolution and data-quality pipelines on a tens-of-TB Databricks/Spark + AWS stack, embedding LLMs into production data processing. Full remote, full-flex, full-time.